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Awesome MCP Servers

@TensorBlock

Awesome MCP Servers について

A comprehensive collection of Model Context Protocol (MCP) servers

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

TensorBlock

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Awesome MCP Servers?

Awesome MCP Servers is a community-curated directory of MCP (Model Context Protocol) servers, turned into a hosted, searchable registry with a public API. It is maintained by TensorBlock and indexes over 7,700 unique server links. It is designed for developers, agents, and applications that need to discover, inspect, or install MCP servers without manually parsing markdown.

How to use Awesome MCP Servers?

Access the hosted API at https://mcp-index.tensorblock.co to search servers, fetch normalized profiles, list categories, or generate install-config previews. The public website at https://www.tensorblock.co/mcp provides a browsable UI. To add a server, submit via the Add MCP Server issue form on GitHub or open a PR to a category page in the docs/ folder.

Key features of Awesome MCP Servers

  • Community-curated directory of MCP servers
  • Hosted public API and searchable web UI
  • Generates structured server profiles with metadata
  • Creates install-config previews for popular clients
  • Supports community contributions to metadata and cleanup
  • Provides server badges and public profile URLs for maintainers

Use cases of Awesome MCP Servers

  • Discover and compare MCP servers for agent integration
  • Generate ready-to-use install configurations for Claude Desktop, Cursor, Codex, or VS Code
  • Maintainers can claim and enrich their server’s public profile
  • Build search or filtering features on top of the hosted API
  • Contribute metadata fixes or cleanup through community issues

FAQ from Awesome MCP Servers

How do I add my own MCP server to the index?

Add your server to a category page under docs/ or use the Add MCP Server issue form on the GitHub repository. After merge, you receive a public profile URL, API profile URL, install-config links, and badge markdown.

Is the Awesome MCP Servers API free?

Yes, TensorBlock provides the MCP Index API as free community infrastructure, covering compute, hosting, data normalization, and ongoing maintenance.

What client install configs does the API generate?

The API currently generates install config previews for Claude Desktop, Cursor, Codex, and VS Code.

How does the index maintain data quality?

The repository uses a scheduled catalog health check, community cleanup queue, and issue forms for broken entries, duplicates, stale links, and metadata improvements. Automation drafts PRs from structured submissions.

Do I need to install anything locally to use Awesome MCP Servers?

No, the index is a hosted web service. You use the public API or website; no local installation is required.

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